Customer management and marketing strategy development in the internet of things

Abstract

In the complex environment of Internet of Things (IoT), the amount of information available is enormous and the number of users also increases at a blistering pace. With a huge number of users, the marketing strategies in the IoT become extremely important and must be altered accordingly in response to changes in the environment. In this study, a “Three-Phase customer Demand Mining mechanism (3PDM)” is proposed. In the first phase, the customer value of the enterprise is analyzed. In the second phase, the clustering of different customer value is made. In the third phase, the correlation between the bought products and the high-frequent item sets can be found. Finally, the product recommendations for different customer clusters can be provided.